Exploring the action mechanism and effective components of Yupingfeng powder on influenza based on computational system pharmacology and metabolomics.

ETHNOPHARMACOLOGICAL RELEVANCE: Yupingfeng powder (YPF) is a classic traditional Chinese medicine prescription with a long history of clinical application. However, there is a consensus on the clinical efficacy of YPF in the prevention and treatment of influenza, the underlying pharmacological mechanisms and functional substances have not been thoroughly investigated. AIM OF THE STUDY: This study aimed to elucidate the functional substances and potential mechanisms of YPF against influenza infections by integrating network analysis, metabolomics, computational system pharmacology, and in vitro experiments. MATERIALS AND METHODS: In this study, the active ingredients, related targets, and potential mechanisms of YPF against influenza were identified through network pharmacology and GEO database mining. Combined with metabolomics to corroborate the results of network pharmacology analysis and construct C-T-P-D-M network. Based on this, the key network motifs (KNM) with significance were predicted by system pharmacology algorithm. Finally, the key components as functional substances in the KNM were validated by the coverage of influenza-causing genes and functional pathways, and in vitro experiments. RESULTS: A total of 238 active components and 158 potential target genes intersecting with influenza infection differential genes were screened from YPF. KEGG enrichment analysis indicated that metabolism participated in YPF-provided prevention and treatment on influenza, and metabolomic results further corroborated the significance of the metabolic pathways intervened by YPF included pyruvate metabolism, Valine, leucine and isoleucine degradation, etc. The KNM prediction strategy was computed to include wogonin and isoimperaporin, a group of 48 potential functional components. This functional component group maintained a high degree of consistency with the corresponding C-T network in terms of the coverage of influenza pathogenic genes, and the coverage of functional pathways. Meanwhile, the in vitro results showed that wogonin and isoimperaporin had significant inhibitory effects on inflammation induced by influenza infection, confirming the reliability and accuracy of the KNM prediction strategy. CONCLUSION: YPF against influenza has multi-target and multi-pathway effects, and the underlying mechanisms may be related to metabolism. The pharmacodynamic effects of core components such as wogonin and isoimperaporin on influenza prevention and treatment were confirmed, which represent promising functional candidates for subsequent influenza prevention and treatment, and provide references for the pharmacological and mechanistic analyses of subsequent formulas.

Chinese Medicinal Material Images Database

The Chinese Medicinal Material Images Database is database documents crude drugs commonly used in Chinese medicine practice, providing drug information, including source, origins, description, quality, taste, and clinical indications. Annotatet high quality photographs are used to illustrate and identify the key properties and selected microstructured of the drugs.

Chinese Medicine Formulae Images Database

The Chinese Medicine Formulae Images Database is database documents Chinese Medicine formulae commonly used in Chinese medical practice, which were systematically consolidated and summarized in the form of images and detailed description. It provides formula composition, processing forms, function, indications and usage, along with formula song and shortland methods. The database was developed as a teaching and learning platform for the subject of Traditional Chinese Medicine formulae.

Chinese Medicine Specimen Database

The Chinese Medicine Specimen Database by HKBU offers detailed information on traditional Chinese medicinal specimens. It contains a collection of data on herbal medicines, including their physical attributes, origins, and usage in traditional Chinese medicine practices

ITCM - Integrated Traditional Chinese Medicine

Integrated Traditional Chinese Medicine (ITCM) is a database collects and analyze the largest uniform high-throughput sequencing datasets, including high-quality pharmacological transcription profiles of active TCM ingredients. Notably, profiles of of TCM ingredients were firstly obtained.

TCM2COVID - Anti-COVID-19 Traditional Chinese Medicine Database

The TCM2COVID database is designed to explore Traditional Chinese Medicine (TCM) for COVID-19 treatment. It offers a collection of TCM herbs, compounds, and formulas with potential activity against COVID-19. The platform provides curated data on herbs and their therapeutic properties, linking traditional remedies to modern drug discovery. Researchers can access predictive models, herbal analysis, and molecular mechanisms to identify key TCM interventions for managing COVID-19 symptoms. The database supports comparative studies and detailed investigations of TCM-based antiviral strategies.

TCMBank

TCMBank is a database provides standardized information about traditional Chinese medicines, ingredients, diseases, and their corresponding gene targets, and establishes a comprehensive network containing six pairs of relationships. TCMBank has an intelligent document identification module, which can regularly download the latest document, and intelligently retrieve the information of traditional Chinese medicine in them.

TCMIO - Traditional Chinese Medicine on Immuno-Oncology

The Tradicional Chinese Medicine Integrated Online (TCMIO) platform is a database of Traditional Chinese Medicine (TCM) resources. It provides information on TCM herbs, compounds, and formulas, integrated with modern scientific data, such as target proteins and pathways involved in various diseases. The platform facilitates advanced search tools for researchers to explore the molecular mechanisms of TCM in drug discovery and therapy development. It aims to bridge traditional remedies with modern biomedical research, providing a valuable resource for both scientific exploration and practical applications.

TCMPG - Traditional Chinese Medicine Plant Genome

Traditional Chinese Medicine Plant Genome (TCMPG)is a database that not only deposits the genome data of traditional Chinese medical plants, but also provides a series of computational tools for researchers to perform systematical analysis. With kinds of plants, corresponding genomes, and herbs (different parts from the same plant), together with the related information on plant species, genomes, and herbal medicines were included in TCMPG.

SymMap

SymMap is a database that integrates traditional Chinese medicine (TCM) with modern medicine (MM) through both internal molecular mechanism and external symptom mapping, thus provides massive information on herbs/ingredients, targets, as well as the clinical symptoms and diseases they are used to treat for drug screening efforts.

Investigation of the potential molecular mechanisms of acupuncture in the treatment of long COVID: a bioinformatics approach.

Long COVID is a poorly understood condition characterized by persistent symptoms following the acute phase of COVID-19, including fatigue, cognitive impairment, and joint pain. Acupuncture, a key component of traditional Chinese medicine treatment, has shown potential in alleviating long COVID symptoms. However, the molecular mechanisms underlying its therapeutic effects remain largely unknown. In this study, we employed bioinformatics approaches to explore the potential molecular mechanisms of acupuncture's therapeutic effects on long COVID symptoms. We screened protein targets of active ingredients produced by the body after acupuncture and identified potential therapeutic targets of long COVID. Protein-protein interaction networks were constructed, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify key targets and pathways. Our findings provide valuable insights into the potential molecular mechanisms of acupuncture's therapeutic effects on long COVID symptoms and may contribute to the development of targeted therapies for managing this challenging condition.

Traditional Chinese medicine Ze-Qi-Tang formula reduces inflammation in mice with asthma by inhibiting PI3K/AKT/NF-κB signaling pathway.

Asthma is a chronic airway inflammatory disease. The excessive proliferation of airway smooth muscle cells (ASMCs) is associated with airway remodeling. Ze-Qi-Tang (ZQT) is a popular traditional Chinese medicine preparation and has been confirmed to have therapeutic effects on lung diseases. This study is aimed to probe the biological function of ZQT in asthma. RT-qPCR and ELISA were utilized for testing the mRNA levels and concentrations of pro-inflammatory factors. Colony formation and transwell assay were applied to test cell viability and migration. The mouse model with asthma was established by ovalbumin (OVA) induction. Western blot was utilized for detecting the activation of PI3K/AKT/NF-κB pathway. We found that the concentrations of proinflammatory factors in cells induced by PDGF-BB could been suppressed by ZQT. ZQT-H treatment notably repressed cell viability and proliferation. Furthermore, we proved the suppressive effect of ZQT on airway inflammation in asthma mice. Additionally, we discovered that ZQT could suppress the PI3K/AKT/NF-κB pathway in PDGF-BB-induced ASMCs. To sum up, ZQT reduced airway inflammation and remodeling in mice with asthma via inactivating PI3K/AKT/NF-κB pathway.

Impact of Diagnosis-Related Groups (DRG) reform on cost homogeneity of treatment for patients with malignant tumours.

The cost fluctuations associated with chemotherapy, radiotherapy, and immunotherapy, as primary modalities for treating malignant tumors, are closely related to medical decision-making and impose financial burdens on patients. In response to these challenges, China has implemented the Diagnosis-Related Group (DRG) payment system to standardize costs and control expenditures. This study collected hospitalization data from patients with malignant tumors who received chemotherapy, radiotherapy, and immunotherapy at Hospital H from 2018 to 2022. The dataset was segmented into two groups: the intervention group, treated with traditional Chinese medicine (TCM) alongside standard therapies, and the control group, treated with standard therapies alone. Changes and trends in hospitalization costs under the DRG policy were analyzed using propensity-score matching (PSM), standard deviation (SD), interquartile range (IQR), and concentration index (CI). Findings showed a decreasing trend in the standard deviation of hospitalization costs across all treatment modalities. Radiotherapy exhibited the most significant decrease, with costs reducing by 2547.37 CNY in the control group and 7387.35 CNY in the intervention group. Following the DRG implementation, the concentration indexes for chemotherapy and radiotherapy increased, while those for immunotherapy did not exhibit this pattern. Costs were more concentrated in patients who did not receive TCM treatment. In summary, DRG reform positively impacted the cost homogeneity of inpatient treatments for malignant tumors, particularly in the control group not receiving TCM treatment. The effects of DRG reform varied across different treatment modalities. Although short-term fluctuations in hospitalization costs may occur, initial evidence during the study period shows the positive impact of DRG reform on cost homogeneity.

[Analysis of core functional components in Yinchenhao Decoction and their pathways for treating liver fibrosis].

OBJECTIVE: To analyze the core functional component groups (CFCG) in Yinchenhao Decoction (YCHD) and their possible pathways for treating hepatic fibrosis based on network pharmacology. METHODS: PPI data were extracted from DisGeNET, Genecards, CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1. The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction. A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets. In cultured human hepatic stellate cells (LX-2 cells), the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay; the effects of these compounds on collagen α1 (Col1a1) mRNA expression and the pathways in 20 ng/mL TGF-ß1-stimulated cells were analyzed using RT-qPCR and Western blotting. RESULTS: A total of 1005 pathogenic genes, 226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained. Benzyl acetate, vanillic acid, clorius, polydatin, lauric acid and ferulic acid were selected for CCK-8 verification, and they all showed minimal cytotoxicity below the concentration of 200 µmol/L. Clorius, polydatin, lauric acid and ferulic acid all effectively inhibited TGF-ß1-induced LX-2 cell activation. At the concentration of 200 µmol/L, all these 4 components inhibited PI3K, p-PI3K, AKT, p-AKT, ERK, p-ERK, P38 MAPK and p-P38 MAPK expressions in TGF-ß1-induced LX-2 cells. CONCLUSION: The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate, vanillic acid, clorius, polydatin, lauric acid and ferulic acid, which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Network pharmacology integrated with molecular docking and molecular dynamics simulations to explore the mechanism of Tongxie Yaofang in the treatment of ulcerative colitis.

Tongxie Yaofang (TXYF), a classical traditional Chinese medicine, is commonly used in China to treat ulcerative colitis (UC). The aim of this study was to integrate network pharmacology with molecular docking and molecular dynamics simulations to explore the mechanism of Tongxie Yaofang in the treatment of UC. The traditional Chinese medicine systems pharmacology database was used to retrieve the relevant chemical compositions of the herbs contained in TXYF. The DisGeNET, GeneCards, Online Mendelian Inheritance in Man, and Therapeutic Target Database databases were used to retrieve UC-related targets. To construct protein-protein interaction networks and screen for key targets, gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses of the key targets of TXYF in the treatment of UC were performed using R 4.3.2 software. AutoDock Tools 1.5.7 was used for molecular docking. Molecular dynamics simulations of protein complexes and complexes of proteins with small-molecule ligands and eutectic ligands were carried out with Gromacs 2022 software. Network pharmacology analysis revealed that TXYF could act on UC through multiple targets and pathways. It may exert therapeutic effects mainly through the AGE/RAGE, TOLL, JAK/STAT, and Th17 signaling pathways. The possible targets of TXYF in the treatment of UC could be AKT1, BCL2, EGFR, HMOX1, HSP90AA1, and TGFß1. Molecular docking analysis revealed that AKT1 had the highest binding energy (-10.55 kcal/mol). Molecular dynamics simulations revealed that the complexes formed by the AKT1 protein and the chemical compounds MOL001910 and MOL00035 had good stability and high binding strength. AKT1 may be the most critical target of TXYF in treating UC, and the key chemical components of TXYF in treating UC may include ß-sitosterol (MOL000358) and 11alpha,12alpha-epoxy-3beta-23-dihydroxy-30-norolean-20-en-28,12beta-olide (MOL00 1910). This study revealed that TXYF may exert therapeutic effects on UC through multiple targets, multiple biological functions, and multiple signaling pathways. This study provides a new insight into the pharmacological mechanism of TXYF in treating UC.

Network pharmacology-based study on the mechanism of action of Trollius chinensis capsule in the treatment of upper respiratory tract infection.

BACKGROUND: Upper respiratory tract infection (URTI), one of the most common respiratory diseases, has a high annual incidence. Trollius chinensis capsule has been used to treat URTI in China. However, the underlying-mechanisms remain unclear. METHODS: Network pharmacology was used to explore the potential mechanism of action of Trollius chinensis capsule in URTI treatment. The active compounds in Trollius chinensis were obtained from the TCMSP, SymMap, and ETCM databases. The TCMSP, PubChem, and SwissTargetPrediction databases were used to predict potential targets of Trollius chinensis. URTI-associated targets were gathered from GeneCards and DisGeNET databases. The key targets and signaling pathways associated with URTI were selected by network topology, GO, and KEGG pathway enrichment analysis. Molecular docking was used to verify the binding activity between active compounds and key targets. RESULTS: Quercetin, pectolinarigenin, beta-sitosterol, acacetin and cirsimaritin are major active compounds in Trollius chinensis capsule. Eighty one candidate therapeutic targets were confirmed to be involved in protection of Trollius chinensis capsule against URTI. Among them, 7 key targets (TP53, IL6, AKT1, CASP3, CXCL8, MMP9, and EGFR) were verified to have good binding affinities to the main active compounds. Furthermore, enrichment analyses suggested that inflammatory response, virus infection and oxidative stress related biological processes and pathways were possibly the potential mechanism. CONCLUSION: Overall, the present study clarified that quercetin, pectolinarigenin, beta-sitosterol, acacetin and cirsimaritin are proved to be the main effective compounds of Trollius chinensis capsule treating URTI, possibly by acting on the targets of IL6, AKT1, CASP3, CXCL8, MMP9 and EGFR to play anti-infectious, anti-viral, and anti-oxidative effects. This study provides a new understanding of the active compounds and mechanisms of Trollius chinensis capsule in URTI treatment from the perspective of network pharmacology.

Long- and short-term effectiveness of traditional Chinese exercises in improving the overall physical capacity of patients with knee osteoarthritis: A systematic review and meta-analysis.

BACKGROUND: The increasing global popularity of traditional Chinese exercise (TCE) provides substantial evidence of its significant efficacy in treating knee osteoarthritis (KOA). To assess the impact of different types of TCE and varying exercise durations on KOA patients, we conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) on this topic. METHODS: Two investigators extensively searched four electronic databases (PubMed, Embase, Cochrane, and Web of Science) from their inception until December 16, 2023, to identify all relevant RCTs on the use of TCE for KOA treatment. The included studies were assessed for risk of bias using the Cochrane Collaboration Risk of Bias Tool (CCRBT), and data analysis was performed using Stata 15.0. RESULTS: A total of 20 RCTs, involving 1367 patients with KOA, met the inclusion criteria. Compared to the control group, TCE demonstrated significant improvement in three subscale scores of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) [Pain (SMD = -0.44; P = .0001); Stiffness (SMD = -0.35; P = .001); Physical function (SMD = -0.52; P = .0001)] and two subscale scores of the 36-item Short-Form (SF-36) [Physical score (WMD = 2.76; P = .001); Mental score (WMD = 2.49; P = .0001)] in KOA patients. Subgroup analysis showed that both long-term habitual exercise (over 12 weeks) and short-term exercise (within 12 weeks) were more effective than the control group in improving pain, joint stiffness, and physical function in KOA patients. Tai Chi, among the four TCE modalities analyzed, demonstrated improvements in all indicators. CONCLUSION: Based on the results of our meta-analysis, it can be concluded that both long-term and short-term TCE interventions are effective in alleviating the main symptoms of KOA and improving patients' physical function. However, due to limited methodological quality and inconsistent outcome measures in the included RCTs, further high-quality RCTs with larger sample sizes and longer-term interventions are necessary to validate our findings before TCE can be recommended as a treatment for KOA.

Insights into the mechanism of Danggui Liuhuang Tang in treating night sweats: A network pharmacology and molecular docking approach.

BACKGROUND: Night sweats can occur independently or in association with a number of medical conditions and can significantly disrupt daily life. This study focuses on the treatment of primary night sweats. Despite the considerable interest in Danggui Liuhuang Tang (DGLHT), an effective traditional Chinese medicine formula, its mechanism of action remains unknown. There is also no existing literature on the subject. METHODS: Network pharmacology and molecular docking techniques. RESULTS: Network pharmacology techniques were employed to identify 109 active ingredients and 808 potential targets of DGLHT, as well as 2385 targets associated with night sweating diseases. The screening process yielded 375 common targets shared between DGLHT and night sweating. These included the active ingredients baicalein, quercetin, huarangiin, and tetrahydroafrican antipyrine, and the core targets interleukin 6, serine/threonine protein kinase 1, tumor necrosis factor, GAPDH enzyme, and Src protein kinase were identified. The Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that DGLHT exerts its therapeutic effects primarily by modulating the PI3K-Akt signaling pathway, neuroactive ligand-receptor interactions, lipid metabolism, and atherosclerosis pathways. Molecular docking revealed strong binding activity between the main active ingredients and their potential targets. CONCLUSION: The research identifies promising active ingredients and targets related to the effectiveness of DGLHT in controlling night sweats, thus contributing to the further exploration of potential therapeutics for this condition. In addition, the results of this experiment provide a basis for future research into night sweats.

Objective Analysis of Traditional Chinese Medicine Syndrome Differentiation of Patients With Diabetes and Prediabetes: Protocol for a Nonrandomized, Exploratory, Observational Case-Control Study Using Digitalized Traditional Chinese Medicine Diagnostic Tools.

BACKGROUND: Diabetes and prediabetes are diagnosed differentially by Western and Chinese medicine. While Western medicine uses objective laboratory analysis of biochemical parameters to define the severity of diabetes and prediabetes, Chinese medicine uses a comprehensive approach that integrates observation, inquiry, pulse palpation, and tongue diagnosis. The medical information collected is then categorized into different syndromes. However, traditional methods of pulse and tongue diagnoses used to determine syndrome differentiation are highly subjective and skill dependent. OBJECTIVE: This study aims to identify the gap in conventional traditional Chinese medicine (TCM) diagnostic techniques for syndrome differentiation analysis using contemporary diagnostic devices. We devised a protocol for a nonrandomized, exploratory, observational case-control study with equal allocations in 5 arms to investigate the syndrome differentiation of diabetes and prediabetes. We hypothesize that the TCM syndrome differentiation of diabetes and prediabetes in the tropical climate may differ from that defined based on the Chinese demographic. We also speculate that the high-frequency spectral energy may reflect a difference in pulse wave intensity and density between the healthy and diabetes groups. METHODS: A total of 250 eligible participants will be equally assigned to 1 of 5 arms (healthy or subhealthy, prediabetes, diabetes, prediabetes with hypertension and dyslipidemia, and diabetes with hypertension and dyslipidemia). Participants aged 21-75 years, of any sex or race, and have been diagnosed with diabetes (fasting plasma glucose [FPG] of 7 mmol/L, or 2-hour plasma glucose [2hPG] of 11.1 mmol/L) or prediabetes (impaired FPG of 6.1-6.9 mmol/L, or impaired glucose tolerance with an 2hPG of 7.8-11 mmol/L) will be included. The Health Evaluation Questionnaire, Physical Activity Questionnaire, sugar intake assessment, Constitution in Chinese Medicine Questionnaire, radial pulse diagnosis, and tongue diagnosis will be performed in a single visit. ANOVA for continuous data and chi-square tests of independence will be used for categorical data assessments, with a level of P<.05 considered significant. RESULTS: The recruitment is in progress. We anticipate that the study will conclude in June 2025. As of July 15, 2024, we have enrolled 140 individuals. CONCLUSIONS: To the best of our knowledge, this is the first study to use contemporary TCM diagnostic instruments to map expert and empirical knowledge of TCM to its scientific equivalents for the purpose of evaluating the syndrome differentiation of diabetes. We designed this protocol with the exploratory goal to examine objectively the syndrome differentiation of patients with diabetes and those with prediabetes using TCM diagnostic technologies. The data collected and evaluated under standardized conditions using these contemporary diagnostic devices will exhibit a higher degree of stability, hence yielding dependable and unbiased results for syndrome differentiation. Thus, our findings may potentially increase the accuracy of identification, diagnosis, treatment, and prevention of diabetes and prediabetes through a system of targeted treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT05563090; https://clinicaltrials.gov/ct2/show/NCT05563090. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56024.

Computational screening and molecular docking of compounds from Traditional Chinese Medicine (TCM) by targeting DNA topoisomerase I to design potential anticancer drugs.

Each year thousands of people suffer across the globe due to higher cancer incidence and mortality rates. Additionally, the treatment option for cancer patients is also costly, and often cancer drugs suffer from lower efficacy with more side effects. The DNA topoisomerase can function as an established cancer target because Human Topoisomerase (Top1) regulates genetic transcription during the post-mitotic phase and plays a critical role in DNA supercoiling during replication and repair. Therefore, during drug therapy, blocking the Top1 may be crucial for inhibiting the proliferation of cancer cells. Here, the TCM (traditional Chinese medicine) compounds have been screened through the virtual screening. The Chinese medicine library's virtual screening process made it possible to narrow down the compound list to 29 compounds based on binding energy (-7.1 to -9.3Kcal/mol), while following Lipniski filtering, MM/PB (GB) SA filtering was used to screen the remaining 22 compounds and the top four compounds were chosen based on binding free energy. Here, the four compounds; CID-65752 (T2972: Rutaecarpine), CID-5271805 (T4S2126: Ginkgetin), CID-9817839 (T2S2335: Dehydroevodiamine) and CID-51106 (T3054: Daurisoline) had comparatively higher binding energy of -8.2, -8.5, -8.3 and -8.2 respectively during molecular docking than other compounds. Among these four compounds, no toxic profile of the two screened compounds; CID-5271805 and CID-9817839 was found in ADMET filtering. Moreover, the SASA (solvent accessible surface area), Rg (radius of gyrations), RMSD (root mean square deviation), and RMSF (root mean square fluctuation) profile of the drug-protein complex reveals the stability and rigidity of the compounds in molecular dynamics simulation study. However, these studies need to be validated in experimental approaches to develop more potent and effective cancer drugs.